Loading text file containing both float and string using numpy.loadtxt

Question

I have a text file, data.txt, which contains:

5.1,3.5,1.4,0.2,Iris-setosa
4.9,3.0,1.4,0.2,Iris-setosa
5.8,2.7,4.1,1.0,Iris-versicolor
6.2,2.2,4.         


        

Answer 1

It seems that keeping the numbers and text together has been causing you so much trouble - if you end up deciding to separate them, my workaround is:

values = np.loadtxt('data', delimiter=',', usecols=[0,1,2,3])
labels = np.loadtxt('data', delimiter=',', usecols=[4])